Selected notes, project writeups, and practical explanations around Vision AI, data analysis, remote sensing, geospatial analytics, and machine learning.
Earlier writing: simpleml.hashnode.dev
A reflection on completing my M.S. at Kookmin University, the research journey behind it, and the next step toward PhD work in computer vision, Earth observation, and GeoAI.
A technical note on building a hackathon compliance AI prototype by compiling financial law into structured rules, SIR fields, deterministic checks, and audit-ready outputs.
A practical look at building a debugger for Vision AI agents using heatmaps, model comparison, reasoning traces, error detection, and cost tracking.
A technical writeup on building a CCTV crosswalk segmentation system for adaptive pedestrian signal timing using transfer learning, pseudo-labeling, and real-time computer vision.
A short project writeup on using ResNet features, PCA, and topic-style clustering to explore artistic style similarity across paintings.
Earlier Hashnode note connecting linear regression intuition to pixel-based prediction problems in computer vision.
Earlier Hashnode note explaining k-nearest neighbors with simple intuition and practical machine learning framing.
Earlier Hashnode note tracing how computer vision developed from classical image processing into modern Vision AI.
Earlier Hashnode note explaining linear regression with simple math, intuition, and beginner-friendly examples.